• AI and cardiac CT: Balancing innovation, accountability and human oversight
    Apr 20 2026

    Host Praveen Ranganath, MD is joined by cohost Manish Motwani, MBChB, PhD, FSCCT to facilitate a panel discussion on artificial intelligence in cardiac imaging.

    Panelists:

    • Damini Dey, PhD, FSCCT
    • Arthur Shiyovich, MD
    • Alan Vainrib, MD
    • Marly van Assen, MSc, PhD

    Resources:

    Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT)

    AI/ML Toolkit

    AI and Innovations Symposium

    For more thought-provoking discussions on AI and machine learning in cardiac imaging, join us at the SCCT2026 AI and Innovations Symposium on July 9, 2026, where global experts will explore cutting-edge advances, real-world challenges and the future integration of AI into clinical practice.

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    48 mins
  • How new statements are redefining AI-QCPA | Sponsored episode
    Feb 20 2026

    On this industry-sponsored episode, host Praveen Ranganath speaks with Dr. Ron Blankstein about recent advancements in the interpretation and use of advanced plaque analysis tools based on 3 recent publications:

    1. ACC Scientific Statement on Quantitative Coronary Plaque Analysis

    2. AHA Scientific Statement on Nonobstructive CAD

    3. The Lancet Commission on Rethinking Coronary Artery Disease


    This episode is sponsored by Heartflow.

    References to a specific product, process, or service by speakers in this podcast episode do not constitute or imply an endorsement by the Society of Cardiovascular Computed Tomography. The views and opinions expressed in do not necessarily reflect those of the Society of Cardiovascular Computed Tomography.

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    38 mins
  • AI-based FFRct: Conversation with Zwanger-Pesiri | Sponsored episode
    Jan 21 2026

    On this industry-sponsored episode, host Praveen Ranganath, MD speaks with Anthony Puzelli, RT(R)(MR)(CT)(MRSO), Adam Alberti, ARRT (R)(CT)(MR)(MRSO), and Steven Mendelsohn, MD from Zwanger-Pesiri Radiology about their experience with the AI-driven FFRct solution from Keya Medical. Tune in and enjoy!


    This episode is sponsored by Keya Medical.

    References to a specific product, process, or service by speakers in this podcast episode do not constitute or imply an endorsement by the Society of Cardiovascular Computed Tomography. The views and opinions expressed in do not necessarily reflect those of the Society of Cardiovascular Computed Tomography.

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    54 mins
  • Early career perspectives: The first year as an attending
    Dec 29 2025

    Host Praveen Ranganath, MD is joined by FiRST Committee members Shruti Hegde, MD; Ady Orbach, MD, MSc; and Jonathan Pan, MD for a candid conversation on navigating the transition from cardiac imaging training into the first year of attending practice. Tune in and enjoy!

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    39 mins
  • Uncovering Hidden Cardiac Risk with AI-powered Fat Attenuation Index Score (FAI-Score™) | Sponsored episode
    Dec 19 2025

    On this industry-sponsored episode, host Praveen Ranganath is joined by guest Dr. Pete Tomlins, Head of Innovation, Caristo Diagnostics, to discuss the FAI-Score, a novel imaging marker that enables doctors to see coronary inflammation, the previously invisible underlying driver of heart attacks and stroke. Tune in to learn about:

    1. Pericoronary adipose tissue (PCAT) imaging - a ‘biosensor’ for invisible coronary inflammation
    2. FAI-Score – transforming PCAT imaging into a standardized clinical measure of coronary inflammation
    3. The future of cardiac risk assessment – combing invisible inflammation with visible plaque on CCTA


    This episode is sponsored by Caristo Diagnostics.

    References to a specific product, process, or service by speakers in this podcast episode do not constitute or imply an endorsement by the Society of Cardiovascular Computed Tomography. The views and opinions expressed in do not necessarily reflect those of the Society of Cardiovascular Computed Tomography.

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    37 mins
  • Computational fluid dynamics in cardiac computed tomography: Insights into structural heart disease
    Nov 25 2025

    On this episode of the Donut of Destiny, hosts Sotirios Evangelou, MD, FSCCT and Nisha Hosadurg , MBBS speak with guest Alan Vainrib, MD on how computational fluid dynamics (CFD) is emerging as a powerful research tool for understanding blood-flow behavior in structural heart disease. Using CT/MRI-based models, CFD can simulate pressures, velocities, shear stress and even post-procedure hemodynamics — offering new possibilities for evaluating aortic stenosis, planning TAVR and guiding mitral, tricuspid and LAAO interventions.

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    20 mins
  • Paradigm shift: Ischemia to Atheroma | Sponsored episode
    Nov 14 2025

    In this industry-sponsored episode, host Praveen Ranganath, MD is joined by returning guest, Amir Ahmadi, MD, FSCCT to discuss the paradigm shift from an ischemia-driven to an atheroma-driven approach to cardiovascular disease. Tune in and enjoy!


    This episode is sponsored by Elucid.

    References to a specific product, process, or service by speakers in this podcast episode do not constitute or imply an endorsement by the Society of Cardiovascular Computed Tomography. The views and opinions expressed in do not necessarily reflect those of the Society of Cardiovascular Computed Tomography.

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    48 mins
  • Building a Cardiac CT Program Series: Seth Uretsky | Sponsored episode
    Aug 15 2025

    In this industry sponsored episode, host Praveen Ranganath speaks with Dr. Seth Uretsky from Morristown Medical Center about the growth of their multimodality cardiac imaging program. Tune in and enjoy!


    This episode is sponsored by GE HealthCare.

    References to a specific product, process, or service by speakers in this podcast episode do not constitute or imply an endorsement by the Society of Cardiovascular Computed Tomography. The views and opinions expressed in do not necessarily reflect those of the Society of Cardiovascular Computed Tomography.

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    31 mins